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Record W2771846474

Synthesis and evaluation of an 18F-labeled bradykinin B1 receptor-targeting small molecule for PET imaging

2016· article· en· W2771846474 on OpenAlexaff
Hsiou‐Ting Kuo, Zhengxing Zhang, Silvia Jenni, Joseph Lau, Chengcheng Zhang, François Bénard, Kuo‐Shyan Lin

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicPeptidase Inhibition and Analysis
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsChemistryBradykininReceptorSmall moleculeIn vitroBradykinin receptorIn vivoPharmacologyCancer researchBiochemistryMedicineBiology
DOInot available

Abstract

fetched live from OpenAlex

1169 Objectives The bradykinin B1 receptor (B1R), a G-protein coupled receptor, is overexpressed in several pathophysiological conditions including inflammation and cancer. B1R mediates nociception in the context of inflammation, and it is believed to contribute to tumourigenesis by promoting cell proliferation, invasion and angiogenesis. Previously, our lab reported the evaluation of several promising B1R-targeting peptides for cancer imaging. These peptides have high affinity to B1R and generate high-contrasted images of B1R-expressing tumour xenografts in mice. A significant number of potent B1R small molecule antagonists have been developed by pharmaceutical companies for the treatment of chronic pain, and could potentially be exploited for the design of B1R-targeting imaging agents. In this study, we investigated the use of an 18F-labeled small molecule (4-methoxy-N,2,6-trimethyl-N-[2-[2-[4-(1-[18F]fluoroethyl-4-piperidinyl)-1-piperazinyl]-2-oxoethoxy]ethyl]benzenesulfonamide, 18F-Z02035) as an alternative to peptide-based B1R-imaging. Methods The non-radioactive Z02035 standard and its des-fluoroethyl precursor (4-methoxy-N,2,6-trimethyl-N-[2-[2-[4-(1-H-4-piperidinyl)-1-piperazinyl]-2-oxoethoxy]ethyl]benzenesulfonamide, Z02153) were synthesized via multi-step synthesis approach. The binding affinity of Z02035 for B1R was determined by in vitro competition binding assay using B1R-expressing cell membrane. 18F-Z02035 was prepared in two steps: (1) synthesis of 2-[18F]fluoroethyl tosylate by aliphatic nucleophilic substitution using 18F-fluoride and 1,​2-​bis(tosyloxy)​ethane; and (2) coupling of 2-[18F]fluoroethyl tosylate with the precursor Z02153. PET imaging and biodistribution studies were performed at 1 h post-injection in mice bearing both B1R-positive HEK293T::hB1R and B1R-negative wild-type HEK293T tumours. Results The overall synthesis yield for the non-radioactive standard Z02035 was 1% (seven steps), and the yield for the precursor Z02153 was 47% (seven steps). Competition assays showed that Z02035 is a potent B1R binder with a Ki value of 0.93 ± 0.44 nM. By reacting Z02153 with 2-[18F]fluoroethyl tosylate, 18F-Z02035 was obtained in 6 ± 1% non-decay corrected yield with > 99% radiochemical purity and 0.9 ± 0.8 Ci/µmol specific activity. From PET images, 18F-Z02035 enabled visualization of the B1R-positive HEK293T::hB1R tumours with better contrast than the B1R-negative HEK293T tumours. In terms of clearance, 18F-Z02035 was excreted primarily through the hepatobiliary pathway. The average uptake in HEK293T::hB1R tumours (3.77 ± 0.79 %ID/g) was higher than in HEK293T tumours (2.11 ± 0.37 %ID/g). The tumour-to-muscle ratio for HEK293T::hB1R was 3.38 ±1.05. 18F-Z02035 exhibited slight defluorination in vivo as bone uptake was 4.63 ± 0.65 %ID/g. Conclusions We took a novel approach for targeting B1R expression by synthesizing an 18F-labeled small molecule. Although absolute uptake and overall contrast are lower than reported B1R tracers derived from peptide sequences, 18F-Z02035 was able to differentiate between B1R expressing and non-expressing tumour xenografts. Optimization to enhance tumour uptake/contrast and reduce in vivo defluorination is currently underway.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.307
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2016
Admission routes1
Has abstractyes

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